자료유형  

 학위논문

Control Number  

0016934404

International Standard Book Number  

9798380269612

Dewey Decimal Classification Number  

616.8905

Main Entry-Personal Name  

Lucas, Molly Vanneman.

Publication, Distribution, etc. (Imprint  

[S.l.] : Stanford University., 2021

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2021

Physical Description  

1 online resource(130 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 85-03, Section: B.

General Note  

Advisor: Poldrack, Russell;Etkin, Amit;Malenka, Robert C.;Newsome, William T.

Dissertation Note  

Thesis (Ph.D.)--Stanford University, 2021.

Restrictions on Access Note  

This item must not be sold to any third party vendors.

Summary, Etc.  

요약Transcranial magnetic stimulation (TMS) is a form of non-invasive brain stimulation, which can be paired with concurrent electroencephalography (EEG). Low frequency (~0.5 Hz) stimulation, commonly called single-pulse TMS (spTMS), has been used as a measurement of cortical responsivity (i.e., stimulus-response mapping). Higher frequency (1 - 20 Hz) repetitive TMS (rTMS) has been used as a therapeutic tool, producing longer lasting effects that have been shown to reduce symptoms especially in major depressive disorder. However, there are major limitations to our efficient use of TMS. Response to TMS is highly variable both within and between subjects, and there is little understanding about the source of this variance. In the following projects, we characterized changes in the TMS-EEG response across key dimensions:In Chapter 2,we used spTMS to probe the entirety of the accessible cortex, mapping changes in the evoked response as a function of spatial location. Additionally, we linked these changes in TMS evoked response to anatomical and resting state connectivity properties of each target brain region.In Chapter 3, we varied stimulation burst frequency, intensity, and burst length, evaluating the input parameter space of rTMS considered safe in healthy humans and clinical populations. Using a series of common TMS-EEG output measures, we tracked how these three parameters could be selected for to maximize each unique output metric.Chapter 4describes a custom fully-automated data processing pipeline developed for the aforementioned studies, each of which used TMS-EEG in analytically challenging ways.Overallour hope is to better understand what drives TMS-induced changes in the brain such that future work can capitalize on these properties for more optimal results.

Subject Added Entry-Topical Term  

Neuroimaging.

Subject Added Entry-Topical Term  

Electrodes.

Subject Added Entry-Topical Term  

Transcranial magnetic stimulation.

Subject Added Entry-Topical Term  

Ions.

Subject Added Entry-Topical Term  

Brain research.

Subject Added Entry-Topical Term  

Data processing.

Subject Added Entry-Topical Term  

Design.

Subject Added Entry-Topical Term  

Electroencephalography.

Subject Added Entry-Topical Term  

Medical imaging.

Subject Added Entry-Topical Term  

Electric currents.

Subject Added Entry-Topical Term  

Linear algebra.

Subject Added Entry-Topical Term  

Mathematics.

Subject Added Entry-Topical Term  

Neurosciences.

Added Entry-Corporate Name  

Stanford University.

Host Item Entry  

Dissertations Abstracts International. 85-03B.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:643141